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Orbit AI

Feature-level AI observability using real runtime data

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Hunted byHarshit SharmaHarshit Sharma

Orbit helps teams understand how AI behaves inside their product. Vendor dashboards show usage by model or API key. Orbit connects AI usage to product features using SDK-based runtime data. Track cost, latency, errors, and usage at a feature level — using real production data, not estimates.

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About Orbit AI on Product Hunt

Feature-level AI observability using real runtime data

Orbit AI was submitted on Product Hunt and earned 9 upvotes and 5 comments, placing #32 on the daily leaderboard. Orbit helps teams understand how AI behaves inside their product. Vendor dashboards show usage by model or API key. Orbit connects AI usage to product features using SDK-based runtime data. Track cost, latency, errors, and usage at a feature level — using real production data, not estimates.

Who hunted Orbit AI?

Orbit AI was hunted by Harshit Sharma. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how Orbit AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.